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  <div class="headertitle"><div class="title">KernelExpansion.h</div></div>
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<a href="_kernel_expansion_8h.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a id="l00001" name="l00001"></a><span class="lineno">    1</span><span class="comment">//===========================================================================</span><span class="comment"></span></div>
<div class="line"><a id="l00002" name="l00002"></a><span class="lineno">    2</span><span class="comment">/*!</span></div>
<div class="line"><a id="l00003" name="l00003"></a><span class="lineno">    3</span><span class="comment"> * </span></div>
<div class="line"><a id="l00004" name="l00004"></a><span class="lineno">    4</span><span class="comment"> *</span></div>
<div class="line"><a id="l00005" name="l00005"></a><span class="lineno">    5</span><span class="comment"> * \brief       Affine linear kernel function expansion</span></div>
<div class="line"><a id="l00006" name="l00006"></a><span class="lineno">    6</span><span class="comment"> * </span></div>
<div class="line"><a id="l00007" name="l00007"></a><span class="lineno">    7</span><span class="comment"> * \par</span></div>
<div class="line"><a id="l00008" name="l00008"></a><span class="lineno">    8</span><span class="comment"> * Affine linear kernel expansions resulting from Support</span></div>
<div class="line"><a id="l00009" name="l00009"></a><span class="lineno">    9</span><span class="comment"> * vector machine (SVM) training and other kernel methods.</span></div>
<div class="line"><a id="l00010" name="l00010"></a><span class="lineno">   10</span><span class="comment"> * </span></div>
<div class="line"><a id="l00011" name="l00011"></a><span class="lineno">   11</span><span class="comment"> * </span></div>
<div class="line"><a id="l00012" name="l00012"></a><span class="lineno">   12</span><span class="comment"> * </span></div>
<div class="line"><a id="l00013" name="l00013"></a><span class="lineno">   13</span><span class="comment"> *</span></div>
<div class="line"><a id="l00014" name="l00014"></a><span class="lineno">   14</span><span class="comment"> * \author      T. Glasmachers</span></div>
<div class="line"><a id="l00015" name="l00015"></a><span class="lineno">   15</span><span class="comment"> * \date        2007-2011</span></div>
<div class="line"><a id="l00016" name="l00016"></a><span class="lineno">   16</span><span class="comment"> *</span></div>
<div class="line"><a id="l00017" name="l00017"></a><span class="lineno">   17</span><span class="comment"> *</span></div>
<div class="line"><a id="l00018" name="l00018"></a><span class="lineno">   18</span><span class="comment"> * \par Copyright 1995-2017 Shark Development Team</span></div>
<div class="line"><a id="l00019" name="l00019"></a><span class="lineno">   19</span><span class="comment"> * </span></div>
<div class="line"><a id="l00020" name="l00020"></a><span class="lineno">   20</span><span class="comment"> * &lt;BR&gt;&lt;HR&gt;</span></div>
<div class="line"><a id="l00021" name="l00021"></a><span class="lineno">   21</span><span class="comment"> * This file is part of Shark.</span></div>
<div class="line"><a id="l00022" name="l00022"></a><span class="lineno">   22</span><span class="comment"> * &lt;https://shark-ml.github.io/Shark/&gt;</span></div>
<div class="line"><a id="l00023" name="l00023"></a><span class="lineno">   23</span><span class="comment"> * </span></div>
<div class="line"><a id="l00024" name="l00024"></a><span class="lineno">   24</span><span class="comment"> * Shark is free software: you can redistribute it and/or modify</span></div>
<div class="line"><a id="l00025" name="l00025"></a><span class="lineno">   25</span><span class="comment"> * it under the terms of the GNU Lesser General Public License as published </span></div>
<div class="line"><a id="l00026" name="l00026"></a><span class="lineno">   26</span><span class="comment"> * by the Free Software Foundation, either version 3 of the License, or</span></div>
<div class="line"><a id="l00027" name="l00027"></a><span class="lineno">   27</span><span class="comment"> * (at your option) any later version.</span></div>
<div class="line"><a id="l00028" name="l00028"></a><span class="lineno">   28</span><span class="comment"> * </span></div>
<div class="line"><a id="l00029" name="l00029"></a><span class="lineno">   29</span><span class="comment"> * Shark is distributed in the hope that it will be useful,</span></div>
<div class="line"><a id="l00030" name="l00030"></a><span class="lineno">   30</span><span class="comment"> * but WITHOUT ANY WARRANTY; without even the implied warranty of</span></div>
<div class="line"><a id="l00031" name="l00031"></a><span class="lineno">   31</span><span class="comment"> * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the</span></div>
<div class="line"><a id="l00032" name="l00032"></a><span class="lineno">   32</span><span class="comment"> * GNU Lesser General Public License for more details.</span></div>
<div class="line"><a id="l00033" name="l00033"></a><span class="lineno">   33</span><span class="comment"> * </span></div>
<div class="line"><a id="l00034" name="l00034"></a><span class="lineno">   34</span><span class="comment"> * You should have received a copy of the GNU Lesser General Public License</span></div>
<div class="line"><a id="l00035" name="l00035"></a><span class="lineno">   35</span><span class="comment"> * along with Shark.  If not, see &lt;http://www.gnu.org/licenses/&gt;.</span></div>
<div class="line"><a id="l00036" name="l00036"></a><span class="lineno">   36</span><span class="comment"> *</span></div>
<div class="line"><a id="l00037" name="l00037"></a><span class="lineno">   37</span><span class="comment"> */</span></div>
<div class="line"><a id="l00038" name="l00038"></a><span class="lineno">   38</span><span class="comment">//===========================================================================</span></div>
<div class="line"><a id="l00039" name="l00039"></a><span class="lineno">   39</span> </div>
<div class="line"><a id="l00040" name="l00040"></a><span class="lineno">   40</span> </div>
<div class="line"><a id="l00041" name="l00041"></a><span class="lineno">   41</span><span class="preprocessor">#ifndef SHARK_MODELS_KERNELEXPANSION_H</span></div>
<div class="line"><a id="l00042" name="l00042"></a><span class="lineno">   42</span><span class="preprocessor">#define SHARK_MODELS_KERNELEXPANSION_H</span></div>
<div class="line"><a id="l00043" name="l00043"></a><span class="lineno">   43</span> </div>
<div class="line"><a id="l00044" name="l00044"></a><span class="lineno">   44</span><span class="preprocessor">#include &lt;<a class="code" href="_classifier_8h.html">shark/Models/Classifier.h</a>&gt;</span></div>
<div class="line"><a id="l00045" name="l00045"></a><span class="lineno">   45</span><span class="preprocessor">#include &lt;<a class="code" href="_abstract_kernel_function_8h.html" title="abstract super class of all kernel functions">shark/Models/Kernels/AbstractKernelFunction.h</a>&gt;</span></div>
<div class="line"><a id="l00046" name="l00046"></a><span class="lineno">   46</span><span class="preprocessor">#include &lt;<a class="code" href="_dataset_8h.html">shark/Data/Dataset.h</a>&gt;</span></div>
<div class="line"><a id="l00047" name="l00047"></a><span class="lineno">   47</span><span class="preprocessor">#include &lt;<a class="code" href="_data_view_8h.html">shark/Data/DataView.h</a>&gt;</span></div>
<div class="line"><a id="l00048" name="l00048"></a><span class="lineno">   48</span> </div>
<div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span><span class="keyword">namespace </span><a class="code hl_namespace" href="namespaceshark.html" title="AbstractMultiObjectiveOptimizer.">shark</a> {</div>
<div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span> </div>
<div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="comment"></span> </div>
<div class="line"><a id="l00052" name="l00052"></a><span class="lineno">   52</span><span class="comment">///</span></div>
<div class="line"><a id="l00053" name="l00053"></a><span class="lineno">   53</span><span class="comment">/// \brief Linear model in a kernel feature space.</span></div>
<div class="line"><a id="l00054" name="l00054"></a><span class="lineno">   54</span><span class="comment">///</span></div>
<div class="line"><a id="l00055" name="l00055"></a><span class="lineno">   55</span><span class="comment">/// An affine linear kernel expansion is a model of the type</span></div>
<div class="line"><a id="l00056" name="l00056"></a><span class="lineno">   56</span><span class="comment">/// \f[ x : \mathbb{R}^d \to \mathbb{R}^d \enspace , \enspace x \mapsto \sum_{n=1}^{\ell} \alpha_n k(x_n, x) + b \enspace ,\f]</span></div>
<div class="line"><a id="l00057" name="l00057"></a><span class="lineno">   57</span><span class="comment">/// with parameters \f$ \alpha_n \in \mathbb{R}^{d} \f$ for all</span></div>
<div class="line"><a id="l00058" name="l00058"></a><span class="lineno">   58</span><span class="comment">/// \f$ n \in \{1, \dots, \ell\} \f$ and \f$ b \in \mathbb{R}^d \f$.</span></div>
<div class="line"><a id="l00059" name="l00059"></a><span class="lineno">   59</span><span class="comment">///</span></div>
<div class="line"><a id="l00060" name="l00060"></a><span class="lineno">   60</span><span class="comment">/// One way in which the possibility for vector-valued input and output of dimension \f$ d \f$ may be interpreted</span></div>
<div class="line"><a id="l00061" name="l00061"></a><span class="lineno">   61</span><span class="comment">/// is as allowing for a KernelExpansion model for \f$ d \f$ different classes/outputs in multi-class problems. Then,</span></div>
<div class="line"><a id="l00062" name="l00062"></a><span class="lineno">   62</span><span class="comment">/// the i-th column of the matrix #m_alpha is the KernelExpansion for class/output i.</span></div>
<div class="line"><a id="l00063" name="l00063"></a><span class="lineno">   63</span><span class="comment">///</span></div>
<div class="line"><a id="l00064" name="l00064"></a><span class="lineno">   64</span><span class="comment">/// For a choice of kernel, see \ref kernels.</span></div>
<div class="line"><a id="l00065" name="l00065"></a><span class="lineno">   65</span><span class="comment">///</span></div>
<div class="line"><a id="l00066" name="l00066"></a><span class="lineno">   66</span><span class="comment">/// \tparam InputType Type of basis elements supplied to the kernel</span></div>
<div class="line"><a id="l00067" name="l00067"></a><span class="lineno">   67</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00068" name="l00068"></a><span class="lineno">   68</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00069" data-start="{" data-end="};">
<div class="line"><a id="l00069" name="l00069"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html">   69</a></span><span class="keyword">class </span><a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansion</a> : <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a>&lt;InputType, RealVector&gt;</div>
<div class="line"><a id="l00070" name="l00070"></a><span class="lineno">   70</span>{</div>
<div class="line"><a id="l00071" name="l00071"></a><span class="lineno">   71</span><span class="keyword">public</span>:</div>
<div class="line"><a id="l00072" name="l00072"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#ac5836d98d072c8ea288209ca3fa2f1c9">   72</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a> <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#ac5836d98d072c8ea288209ca3fa2f1c9">KernelType</a>;</div>
<div class="line"><a id="l00073" name="l00073"></a><span class="lineno">   73</span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel&lt;InputType, RealVector&gt;</a> <a class="code hl_class" href="classshark_1_1_abstract_model.html">base_type</a>;</div>
<div class="line"><a id="l00074" name="l00074"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a651c84963d3935af5324530e1722830b">   74</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a518304e95092673b7b6438cace052ef6" title="defines the batch type of the input type.">base_type::BatchInputType</a> <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a651c84963d3935af5324530e1722830b">BatchInputType</a>;</div>
<div class="line"><a id="l00075" name="l00075"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a3d47bea3d1bb6b1c5044c9208f1dfd09">   75</a></span>    <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code hl_typedef" href="classshark_1_1_abstract_model.html#aa0c72e230b9a1324c95ba8ac0b07ba13" title="defines the batch type of the output type">base_type::BatchOutputType</a> <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a3d47bea3d1bb6b1c5044c9208f1dfd09">BatchOutputType</a>;</div>
<div class="line"><a id="l00076" name="l00076"></a><span class="lineno">   76</span> </div>
<div class="line"><a id="l00077" name="l00077"></a><span class="lineno">   77</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00078" name="l00078"></a><span class="lineno">   78</span>    <span class="comment">// ////////////      CONSTRUCTORS       /////////////////////</span></div>
<div class="line"><a id="l00079" name="l00079"></a><span class="lineno">   79</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00080" name="l00080"></a><span class="lineno">   80</span> </div>
<div class="line"><a id="l00081" name="l00081"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#abd97e2ccc82763bbea0c884c5f5bce88">   81</a></span>    <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#abd97e2ccc82763bbea0c884c5f5bce88">KernelExpansion</a>():<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a>(NULL){}</div>
<div class="line"><a id="l00082" name="l00082"></a><span class="lineno">   82</span>        </div>
<div class="foldopen" id="foldopen00083" data-start="{" data-end="}">
<div class="line"><a id="l00083" name="l00083"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a0279e9ce4677fd9fc4da82711a85a9d1">   83</a></span>    <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a0279e9ce4677fd9fc4da82711a85a9d1">KernelExpansion</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>):<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>){</div>
<div class="line"><a id="l00084" name="l00084"></a><span class="lineno">   84</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a> != NULL);</div>
<div class="line"><a id="l00085" name="l00085"></a><span class="lineno">   85</span>    }</div>
</div>
<div class="line"><a id="l00086" name="l00086"></a><span class="lineno">   86</span>        </div>
<div class="foldopen" id="foldopen00087" data-start="{" data-end="}">
<div class="line"><a id="l00087" name="l00087"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a76b322fd10b132fac5afc80405301e64">   87</a></span>    <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a76b322fd10b132fac5afc80405301e64">KernelExpansion</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>, <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>,<span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>, std::size_t outputs = 1){</div>
<div class="line"><a id="l00088" name="l00088"></a><span class="lineno">   88</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a> != NULL);</div>
<div class="line"><a id="l00089" name="l00089"></a><span class="lineno">   89</span>        <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a38c97766f52bf00e5b0120c46c15f37f">setStructure</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>, <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>,<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>,outputs);</div>
<div class="line"><a id="l00090" name="l00090"></a><span class="lineno">   90</span>    }</div>
</div>
<div class="line"><a id="l00091" name="l00091"></a><span class="lineno">   91</span>    </div>
<div class="foldopen" id="foldopen00092" data-start="{" data-end="}">
<div class="line"><a id="l00092" name="l00092"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a38c97766f52bf00e5b0120c46c15f37f">   92</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a38c97766f52bf00e5b0120c46c15f37f">setStructure</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>, <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>,<span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>, std::size_t outputs = 1){</div>
<div class="line"><a id="l00093" name="l00093"></a><span class="lineno">   93</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a> != NULL);</div>
<div class="line"><a id="l00094" name="l00094"></a><span class="lineno">   94</span>        <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a> = <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>;</div>
<div class="line"><a id="l00095" name="l00095"></a><span class="lineno">   95</span>        <span class="keywordflow">if</span>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>)</div>
<div class="line"><a id="l00096" name="l00096"></a><span class="lineno">   96</span>            <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>.resize(outputs);</div>
<div class="line"><a id="l00097" name="l00097"></a><span class="lineno">   97</span>        <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a> = <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>;</div>
<div class="line"><a id="l00098" name="l00098"></a><span class="lineno">   98</span>        <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.resize(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>.<a class="code hl_function" href="group__shark__globals.html#ga814e8b0028cc90dd2af69805e8f8a04d" title="Returns the total number of elements.">numberOfElements</a>(), outputs);</div>
<div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>        <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.clear();</div>
<div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>    }</div>
</div>
<div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span><span class="comment"></span> </div>
<div class="line"><a id="l00102" name="l00102"></a><span class="lineno">  102</span><span class="comment">    /// \brief From INameable: return the class name.</span></div>
<div class="foldopen" id="foldopen00103" data-start="{" data-end="}">
<div class="line"><a id="l00103" name="l00103"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#ac7cf9023daedf1951882dcf76956cbff">  103</a></span><span class="comment"></span>    std::string <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#ac7cf9023daedf1951882dcf76956cbff" title="From INameable: return the class name.">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;KernelExpansion&quot;</span>; }</div>
</div>
<div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span><span class="comment"></span> </div>
<div class="line"><a id="l00106" name="l00106"></a><span class="lineno">  106</span><span class="comment">    /// dimensionality of the output RealVector</span></div>
<div class="foldopen" id="foldopen00107" data-start="{" data-end="}">
<div class="line"><a id="l00107" name="l00107"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a251b1a2dec182d8433b8010fc2df0787">  107</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a251b1a2dec182d8433b8010fc2df0787" title="dimensionality of the output RealVector">outputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00108" name="l00108"></a><span class="lineno">  108</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2();</div>
<div class="line"><a id="l00109" name="l00109"></a><span class="lineno">  109</span>    }</div>
</div>
<div class="line"><a id="l00110" name="l00110"></a><span class="lineno">  110</span>    </div>
<div class="foldopen" id="foldopen00111" data-start="{" data-end="}">
<div class="line"><a id="l00111" name="l00111"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#aafda4afa8142b463e1b316d8bd4e342f">  111</a></span>    <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aafda4afa8142b463e1b316d8bd4e342f" title="Returns the expected shape of the input.">inputShape</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00112" name="l00112"></a><span class="lineno">  112</span>        <span class="keywordflow">return</span> <a class="code hl_class" href="classshark_1_1_shape.html" title="Represents the Shape of an input or output.">Shape</a>();</div>
<div class="line"><a id="l00113" name="l00113"></a><span class="lineno">  113</span>    }</div>
</div>
<div class="line"><a id="l00114" name="l00114"></a><span class="lineno">  114</span> </div>
<div class="line"><a id="l00115" name="l00115"></a><span class="lineno">  115</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00116" name="l00116"></a><span class="lineno">  116</span>    <span class="comment">// ///////////   ALL THINGS KERNEL     //////////////////////</span></div>
<div class="line"><a id="l00117" name="l00117"></a><span class="lineno">  117</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00118" name="l00118"></a><span class="lineno">  118</span> </div>
<div class="foldopen" id="foldopen00119" data-start="{" data-end="}">
<div class="line"><a id="l00119" name="l00119"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">  119</a></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a> <span class="keyword">const</span>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00120" name="l00120"></a><span class="lineno">  120</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a>;</div>
<div class="line"><a id="l00121" name="l00121"></a><span class="lineno">  121</span>    }</div>
</div>
<div class="foldopen" id="foldopen00122" data-start="{" data-end="}">
<div class="line"><a id="l00122" name="l00122"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a082027bb23accf964937433638e57281">  122</a></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a082027bb23accf964937433638e57281">kernel</a>(){</div>
<div class="line"><a id="l00123" name="l00123"></a><span class="lineno">  123</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a>;</div>
<div class="line"><a id="l00124" name="l00124"></a><span class="lineno">  124</span>    }</div>
</div>
<div class="foldopen" id="foldopen00125" data-start="{" data-end="}">
<div class="line"><a id="l00125" name="l00125"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#aa3050c994b3b804dc52e3cac195d927c">  125</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa3050c994b3b804dc52e3cac195d927c">setKernel</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>){</div>
<div class="line"><a id="l00126" name="l00126"></a><span class="lineno">  126</span>        <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a> = <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa7f672e5b1a367ce00545f550596bb0c">kernel</a>;</div>
<div class="line"><a id="l00127" name="l00127"></a><span class="lineno">  127</span>    }</div>
</div>
<div class="line"><a id="l00128" name="l00128"></a><span class="lineno">  128</span> </div>
<div class="line"><a id="l00129" name="l00129"></a><span class="lineno">  129</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00130" name="l00130"></a><span class="lineno">  130</span>    <span class="comment">// ///////    ALL THINGS ALPHA AND OFFSET    ////////////////</span></div>
<div class="line"><a id="l00131" name="l00131"></a><span class="lineno">  131</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00132" name="l00132"></a><span class="lineno">  132</span> </div>
<div class="foldopen" id="foldopen00133" data-start="{" data-end="}">
<div class="line"><a id="l00133" name="l00133"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">  133</a></span>    <span class="keywordtype">bool</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00134" name="l00134"></a><span class="lineno">  134</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>.size() != 0;</div>
<div class="line"><a id="l00135" name="l00135"></a><span class="lineno">  135</span>    }</div>
</div>
<div class="foldopen" id="foldopen00136" data-start="{" data-end="}">
<div class="line"><a id="l00136" name="l00136"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">  136</a></span>    RealMatrix&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3c65dfd17f38eaa461f6400d302fae48">alpha</a>(){</div>
<div class="line"><a id="l00137" name="l00137"></a><span class="lineno">  137</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>;</div>
<div class="line"><a id="l00138" name="l00138"></a><span class="lineno">  138</span>    }</div>
</div>
<div class="foldopen" id="foldopen00139" data-start="{" data-end="}">
<div class="line"><a id="l00139" name="l00139"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a96b806bd045ac5cae655399d487c9666">  139</a></span>    RealMatrix <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a96b806bd045ac5cae655399d487c9666">alpha</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00140" name="l00140"></a><span class="lineno">  140</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>;</div>
<div class="line"><a id="l00141" name="l00141"></a><span class="lineno">  141</span>    }</div>
</div>
<div class="foldopen" id="foldopen00142" data-start="{" data-end="}">
<div class="line"><a id="l00142" name="l00142"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a86269e46881882b7d56f0de924cb9dbe">  142</a></span>    <span class="keywordtype">double</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a86269e46881882b7d56f0de924cb9dbe">alpha</a>(std::size_t <a class="code hl_namespace" href="namespaceexample.html">example</a>, std::size_t cls){</div>
<div class="line"><a id="l00143" name="l00143"></a><span class="lineno">  143</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>(<a class="code hl_namespace" href="namespaceexample.html">example</a>, cls);</div>
<div class="line"><a id="l00144" name="l00144"></a><span class="lineno">  144</span>    }</div>
</div>
<div class="foldopen" id="foldopen00145" data-start="{" data-end="}">
<div class="line"><a id="l00145" name="l00145"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#acfe64c8c40cdedf4e011fc0c76957365">  145</a></span>    <span class="keywordtype">double</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#acfe64c8c40cdedf4e011fc0c76957365">alpha</a>(std::size_t <a class="code hl_namespace" href="namespaceexample.html">example</a>, std::size_t cls)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00146" name="l00146"></a><span class="lineno">  146</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>(<a class="code hl_namespace" href="namespaceexample.html">example</a>, cls);</div>
<div class="line"><a id="l00147" name="l00147"></a><span class="lineno">  147</span>    }</div>
</div>
<div class="foldopen" id="foldopen00148" data-start="{" data-end="}">
<div class="line"><a id="l00148" name="l00148"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">  148</a></span>    RealVector&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a1c89cb50933ee211d67af90e6366e0ee">offset</a>(){</div>
<div class="line"><a id="l00149" name="l00149"></a><span class="lineno">  149</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>(), <span class="stringliteral">&quot;[KernelExpansion::offset] invalid call for object without offset term&quot;</span>);</div>
<div class="line"><a id="l00150" name="l00150"></a><span class="lineno">  150</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>;</div>
<div class="line"><a id="l00151" name="l00151"></a><span class="lineno">  151</span>    }</div>
</div>
<div class="foldopen" id="foldopen00152" data-start="{" data-end="}">
<div class="line"><a id="l00152" name="l00152"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a2494359ab8d8be134b2b9adccc458a33">  152</a></span>    RealVector <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a2494359ab8d8be134b2b9adccc458a33">offset</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00153" name="l00153"></a><span class="lineno">  153</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>(), <span class="stringliteral">&quot;[KernelExpansion::offset] invalid call for object without offset term&quot;</span>);</div>
<div class="line"><a id="l00154" name="l00154"></a><span class="lineno">  154</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>;</div>
<div class="line"><a id="l00155" name="l00155"></a><span class="lineno">  155</span>    }</div>
</div>
<div class="foldopen" id="foldopen00156" data-start="{" data-end="}">
<div class="line"><a id="l00156" name="l00156"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a47023a21733e5230af9d3e5253422721">  156</a></span>    <span class="keywordtype">double</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a47023a21733e5230af9d3e5253422721">offset</a>(std::size_t cls){</div>
<div class="line"><a id="l00157" name="l00157"></a><span class="lineno">  157</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>(), <span class="stringliteral">&quot;[KernelExpansion::offset] invalid call for object without offset term&quot;</span>);</div>
<div class="line"><a id="l00158" name="l00158"></a><span class="lineno">  158</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>(cls);</div>
<div class="line"><a id="l00159" name="l00159"></a><span class="lineno">  159</span>    }</div>
</div>
<div class="foldopen" id="foldopen00160" data-start="{" data-end="}">
<div class="line"><a id="l00160" name="l00160"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a514768f8a9709bde70dc9b993892e2e1">  160</a></span>    <span class="keywordtype">double</span> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a514768f8a9709bde70dc9b993892e2e1">offset</a>(std::size_t cls)<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00161" name="l00161"></a><span class="lineno">  161</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>(), <span class="stringliteral">&quot;[KernelExpansion::offset] invalid call for object without offset term&quot;</span>);</div>
<div class="line"><a id="l00162" name="l00162"></a><span class="lineno">  162</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>(cls);</div>
<div class="line"><a id="l00163" name="l00163"></a><span class="lineno">  163</span>    }</div>
</div>
<div class="line"><a id="l00164" name="l00164"></a><span class="lineno">  164</span> </div>
<div class="line"><a id="l00165" name="l00165"></a><span class="lineno">  165</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00166" name="l00166"></a><span class="lineno">  166</span>    <span class="comment">// ////////    ALL THINGS UNDERLYING DATA    ////////////////</span></div>
<div class="line"><a id="l00167" name="l00167"></a><span class="lineno">  167</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00168" name="l00168"></a><span class="lineno">  168</span> </div>
<div class="line"><a id="l00169" name="l00169"></a><span class="lineno">  169</span> </div>
<div class="foldopen" id="foldopen00170" data-start="{" data-end="}">
<div class="line"><a id="l00170" name="l00170"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">  170</a></span>    <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a48c4d31664d347f477cfb305a7b98d61">basis</a>()<span class="keyword"> const </span>{</div>
<div class="line"><a id="l00171" name="l00171"></a><span class="lineno">  171</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>;</div>
<div class="line"><a id="l00172" name="l00172"></a><span class="lineno">  172</span>    }</div>
</div>
<div class="line"><a id="l00173" name="l00173"></a><span class="lineno">  173</span> </div>
<div class="foldopen" id="foldopen00174" data-start="{" data-end="}">
<div class="line"><a id="l00174" name="l00174"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a97db6773c7ab9c69e1c88cb44a83634e">  174</a></span>    <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a>&amp; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a97db6773c7ab9c69e1c88cb44a83634e">basis</a>() {</div>
<div class="line"><a id="l00175" name="l00175"></a><span class="lineno">  175</span>        <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>;</div>
<div class="line"><a id="l00176" name="l00176"></a><span class="lineno">  176</span>    }</div>
</div>
<div class="line"><a id="l00177" name="l00177"></a><span class="lineno">  177</span>    <span class="comment"></span></div>
<div class="line"><a id="l00178" name="l00178"></a><span class="lineno">  178</span><span class="comment">    /// The sparsify method removes non-support-vectors from</span></div>
<div class="line"><a id="l00179" name="l00179"></a><span class="lineno">  179</span><span class="comment">    /// its set of basis vectors and the coefficient matrix.</span></div>
<div class="foldopen" id="foldopen00180" data-start="{" data-end="}">
<div class="line"><a id="l00180" name="l00180"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a503aaebca6ce5e7d8a6f79e5e039bd9f">  180</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a503aaebca6ce5e7d8a6f79e5e039bd9f">sparsify</a>(){</div>
<div class="line"><a id="l00181" name="l00181"></a><span class="lineno">  181</span>        std::size_t ic = <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>.<a class="code hl_function" href="group__shark__globals.html#ga814e8b0028cc90dd2af69805e8f8a04d" title="Returns the total number of elements.">numberOfElements</a>();</div>
<div class="line"><a id="l00182" name="l00182"></a><span class="lineno">  182</span>        std::vector&lt;std::size_t&gt; svIndices;</div>
<div class="line"><a id="l00183" name="l00183"></a><span class="lineno">  183</span>        <span class="keywordflow">for</span> (std::size_t i=0; i != ic; ++i){</div>
<div class="line"><a id="l00184" name="l00184"></a><span class="lineno">  184</span>            <span class="keywordflow">if</span> (blas::norm_1(row(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>, i)) &gt; 0.0){</div>
<div class="line"><a id="l00185" name="l00185"></a><span class="lineno">  185</span>                svIndices.push_back(i);</div>
<div class="line"><a id="l00186" name="l00186"></a><span class="lineno">  186</span>            }</div>
<div class="line"><a id="l00187" name="l00187"></a><span class="lineno">  187</span>        }</div>
<div class="line"><a id="l00188" name="l00188"></a><span class="lineno">  188</span>        <span class="comment">//project basis on the support vectors</span></div>
<div class="line"><a id="l00189" name="l00189"></a><span class="lineno">  189</span>        <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a> = <a class="code hl_function" href="group__shark__globals.html#ga3c0660922e34389d005bb81e9bde0c18" title="Creates a new dataset from a View.">toDataset</a>(<a class="code hl_function" href="group__shark__globals.html#ga420a47af92d8da0f5e95a7d158521db9" title="Creates a subset of a DataView with elements indexed by indices.">subset</a>(<a class="code hl_function" href="group__shark__globals.html#ga4adbf0bc9537c1829f1e1cd281de560b" title="Creates a View from a dataset.">toView</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>),svIndices));</div>
<div class="line"><a id="l00190" name="l00190"></a><span class="lineno">  190</span>        </div>
<div class="line"><a id="l00191" name="l00191"></a><span class="lineno">  191</span>        <span class="comment">//reduce alpha to it&#39;s support vector variables</span></div>
<div class="line"><a id="l00192" name="l00192"></a><span class="lineno">  192</span>        RealMatrix a(svIndices.size(), <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2());</div>
<div class="line"><a id="l00193" name="l00193"></a><span class="lineno">  193</span>        <span class="keywordflow">for</span> (std::size_t i=0; i!= svIndices.size(); ++i){</div>
<div class="line"><a id="l00194" name="l00194"></a><span class="lineno">  194</span>            noalias(row(a,i)) = row(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>,svIndices[i]); </div>
<div class="line"><a id="l00195" name="l00195"></a><span class="lineno">  195</span>        }</div>
<div class="line"><a id="l00196" name="l00196"></a><span class="lineno">  196</span>        <a class="code hl_function" href="namespaceshark.html#a3fffe112e8e09ea8f41e4fb7113e93ee" title="Swaps the contents of two instances of KeyValuePair.">swap</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>,a);</div>
<div class="line"><a id="l00197" name="l00197"></a><span class="lineno">  197</span>    }</div>
</div>
<div class="line"><a id="l00198" name="l00198"></a><span class="lineno">  198</span> </div>
<div class="line"><a id="l00199" name="l00199"></a><span class="lineno">  199</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00200" name="l00200"></a><span class="lineno">  200</span>    <span class="comment">// ////////    ALL THINGS KERNEL PARAMETERS    //////////////</span></div>
<div class="line"><a id="l00201" name="l00201"></a><span class="lineno">  201</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00202" name="l00202"></a><span class="lineno">  202</span> </div>
<div class="foldopen" id="foldopen00203" data-start="{" data-end="}">
<div class="line"><a id="l00203" name="l00203"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a6b91222bf74774ac83e049f95d03f6c7">  203</a></span>    RealVector <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a6b91222bf74774ac83e049f95d03f6c7" title="Return the parameter vector.">parameterVector</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00204" name="l00204"></a><span class="lineno">  204</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>()){</div>
<div class="line"><a id="l00205" name="l00205"></a><span class="lineno">  205</span>            <span class="keywordflow">return</span>  to_vector(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>) | <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>;</div>
<div class="line"><a id="l00206" name="l00206"></a><span class="lineno">  206</span>        }</div>
<div class="line"><a id="l00207" name="l00207"></a><span class="lineno">  207</span>        <span class="keywordflow">else</span>{</div>
<div class="line"><a id="l00208" name="l00208"></a><span class="lineno">  208</span>            <span class="keywordflow">return</span> to_vector(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>);</div>
<div class="line"><a id="l00209" name="l00209"></a><span class="lineno">  209</span>        }</div>
<div class="line"><a id="l00210" name="l00210"></a><span class="lineno">  210</span>    }</div>
</div>
<div class="line"><a id="l00211" name="l00211"></a><span class="lineno">  211</span> </div>
<div class="foldopen" id="foldopen00212" data-start="{" data-end="}">
<div class="line"><a id="l00212" name="l00212"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a0c1c29a9e9251d908d5d35c4f5998725">  212</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a0c1c29a9e9251d908d5d35c4f5998725" title="Set the parameter vector.">setParameterVector</a>(RealVector <span class="keyword">const</span>&amp; newParameters){</div>
<div class="line"><a id="l00213" name="l00213"></a><span class="lineno">  213</span>        <a class="code hl_define" href="_exception_8h.html#adce1f80097c69010f5eab2618fa2e971">SHARK_RUNTIME_CHECK</a>(newParameters.size() == <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#acef45b855141ee8cae89b468c72bcb85" title="Return the number of parameters.">numberOfParameters</a>(), <span class="stringliteral">&quot;Invalid size of the parameter vector&quot;</span>);</div>
<div class="line"><a id="l00214" name="l00214"></a><span class="lineno">  214</span>        std::size_t numParams = <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size1() * <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2();</div>
<div class="line"><a id="l00215" name="l00215"></a><span class="lineno">  215</span>        noalias(to_vector(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>)) = subrange(newParameters, 0, numParams);</div>
<div class="line"><a id="l00216" name="l00216"></a><span class="lineno">  216</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>())</div>
<div class="line"><a id="l00217" name="l00217"></a><span class="lineno">  217</span>            noalias(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>) = subrange(newParameters, numParams, numParams + <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>.size());</div>
<div class="line"><a id="l00218" name="l00218"></a><span class="lineno">  218</span>    }</div>
</div>
<div class="line"><a id="l00219" name="l00219"></a><span class="lineno">  219</span> </div>
<div class="foldopen" id="foldopen00220" data-start="{" data-end="}">
<div class="line"><a id="l00220" name="l00220"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#acef45b855141ee8cae89b468c72bcb85">  220</a></span>    std::size_t <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#acef45b855141ee8cae89b468c72bcb85" title="Return the number of parameters.">numberOfParameters</a>()<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00221" name="l00221"></a><span class="lineno">  221</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>()) </div>
<div class="line"><a id="l00222" name="l00222"></a><span class="lineno">  222</span>            <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size1() * <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2() + <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>.size();</div>
<div class="line"><a id="l00223" name="l00223"></a><span class="lineno">  223</span>        <span class="keywordflow">else</span> </div>
<div class="line"><a id="l00224" name="l00224"></a><span class="lineno">  224</span>            <span class="keywordflow">return</span> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size1() * <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2();</div>
<div class="line"><a id="l00225" name="l00225"></a><span class="lineno">  225</span>    }</div>
</div>
<div class="line"><a id="l00226" name="l00226"></a><span class="lineno">  226</span> </div>
<div class="line"><a id="l00227" name="l00227"></a><span class="lineno">  227</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00228" name="l00228"></a><span class="lineno">  228</span>    <span class="comment">// ////////       ALL THINGS EVALUATION        //////////////</span></div>
<div class="line"><a id="l00229" name="l00229"></a><span class="lineno">  229</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00230" name="l00230"></a><span class="lineno">  230</span>    </div>
<div class="foldopen" id="foldopen00231" data-start="{" data-end="}">
<div class="line"><a id="l00231" name="l00231"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#ae4764c8830fd7f7b65e43e3e4210dba1">  231</a></span>    boost::shared_ptr&lt;State&gt; <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#ae4764c8830fd7f7b65e43e3e4210dba1" title="Creates an internal state of the model.">createState</a>()<span class="keyword">const</span>{</div>
<div class="line"><a id="l00232" name="l00232"></a><span class="lineno">  232</span>        <span class="keywordflow">return</span> boost::shared_ptr&lt;State&gt;(<span class="keyword">new</span> <a class="code hl_struct" href="structshark_1_1_empty_state.html" title="Default State of an Object which does not need a State.">EmptyState</a>());</div>
<div class="line"><a id="l00233" name="l00233"></a><span class="lineno">  233</span>    }</div>
</div>
<div class="line"><a id="l00234" name="l00234"></a><span class="lineno">  234</span> </div>
<div class="line"><a id="l00235" name="l00235"></a><span class="lineno">  235</span>    <span class="keyword">using </span><a class="code hl_class" href="classshark_1_1_abstract_model.html" title="Base class for all Models.">AbstractModel</a>&lt;<a class="code hl_typedef" href="classshark_1_1_abstract_model.html#a714e85d7a6cd2b68898cb5dbb25c37d4" title="Defines the input type of the model.">InputType</a>, RealVector&gt;<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a9a55c5a7f5e4b7f447f299c1b19050e2" title="Standard interface for evaluating the response of the model to a batch of patterns.">::eval</a>;</div>
<div class="foldopen" id="foldopen00236" data-start="{" data-end="}">
<div class="line"><a id="l00236" name="l00236"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a9a55c5a7f5e4b7f447f299c1b19050e2">  236</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a9a55c5a7f5e4b7f447f299c1b19050e2" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a651c84963d3935af5324530e1722830b">BatchInputType</a> <span class="keyword">const</span>&amp; patterns, <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a3d47bea3d1bb6b1c5044c9208f1dfd09">BatchOutputType</a>&amp; output)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00237" name="l00237"></a><span class="lineno">  237</span>        std::size_t numPatterns = <a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(patterns);</div>
<div class="line"><a id="l00238" name="l00238"></a><span class="lineno">  238</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a> != NULL);</div>
<div class="line"><a id="l00239" name="l00239"></a><span class="lineno">  239</span> </div>
<div class="line"><a id="l00240" name="l00240"></a><span class="lineno">  240</span>        output.resize(numPatterns,<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2());</div>
<div class="line"><a id="l00241" name="l00241"></a><span class="lineno">  241</span>        <span class="keywordflow">if</span> (<a class="code hl_function" href="classshark_1_1_kernel_expansion.html#afb02d63dd18cb3ba534d1393c092752f">hasOffset</a>())</div>
<div class="line"><a id="l00242" name="l00242"></a><span class="lineno">  242</span>            output = repeat(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>,numPatterns);</div>
<div class="line"><a id="l00243" name="l00243"></a><span class="lineno">  243</span>        <span class="keywordflow">else</span></div>
<div class="line"><a id="l00244" name="l00244"></a><span class="lineno">  244</span>            output.clear();</div>
<div class="line"><a id="l00245" name="l00245"></a><span class="lineno">  245</span> </div>
<div class="line"><a id="l00246" name="l00246"></a><span class="lineno">  246</span>        std::size_t batchStart = 0;</div>
<div class="line"><a id="l00247" name="l00247"></a><span class="lineno">  247</span>        <span class="keywordflow">for</span> (std::size_t i=0; i != <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>.<a class="code hl_function" href="group__shark__globals.html#gabd82edf467b9b82f4b0a1e70fd695311" title="Returns the number of batches of the set.">numberOfBatches</a>(); i++){</div>
<div class="line"><a id="l00248" name="l00248"></a><span class="lineno">  248</span>            std::size_t <a class="code hl_function" href="namespaceshark.html#a30ec7154011b330cf99b48a14a973f64">batchEnd</a> = batchStart+<a class="code hl_function" href="namespaceshark.html#af2ab10364feb8a631e0866dcf2f1a4ad">batchSize</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>.<a class="code hl_function" href="group__shark__globals.html#ga73034ee5639176b0d45e1059859d0f0a">batch</a>(i));</div>
<div class="line"><a id="l00249" name="l00249"></a><span class="lineno">  249</span>            <span class="comment">//evaluate kernels</span></div>
<div class="line"><a id="l00250" name="l00250"></a><span class="lineno">  250</span>            <span class="comment">//results in a matrix of the form where a column consists of the kernel evaluation of </span></div>
<div class="line"><a id="l00251" name="l00251"></a><span class="lineno">  251</span>            <span class="comment">//pattern i with respect to the batch of the basis,this gives a good memory alignment</span></div>
<div class="line"><a id="l00252" name="l00252"></a><span class="lineno">  252</span>            <span class="comment">//in the following matrix matrix product</span></div>
<div class="line"><a id="l00253" name="l00253"></a><span class="lineno">  253</span>            RealMatrix kernelEvaluations = (*mep_kernel)(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>.<a class="code hl_function" href="group__shark__globals.html#ga73034ee5639176b0d45e1059859d0f0a">batch</a>(i),patterns);</div>
<div class="line"><a id="l00254" name="l00254"></a><span class="lineno">  254</span>            </div>
<div class="line"><a id="l00255" name="l00255"></a><span class="lineno">  255</span>            <span class="comment">//get the part of the alpha matrix which is suitable for this batch</span></div>
<div class="line"><a id="l00256" name="l00256"></a><span class="lineno">  256</span>            <span class="keyword">auto</span> batchAlpha = subrange(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>,batchStart,<a class="code hl_function" href="namespaceshark.html#a30ec7154011b330cf99b48a14a973f64">batchEnd</a>,0,<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>.size2());</div>
<div class="line"><a id="l00257" name="l00257"></a><span class="lineno">  257</span>            noalias(output) += prod(trans(kernelEvaluations),batchAlpha);</div>
<div class="line"><a id="l00258" name="l00258"></a><span class="lineno">  258</span>            batchStart = <a class="code hl_function" href="namespaceshark.html#a30ec7154011b330cf99b48a14a973f64">batchEnd</a>;</div>
<div class="line"><a id="l00259" name="l00259"></a><span class="lineno">  259</span>        }</div>
<div class="line"><a id="l00260" name="l00260"></a><span class="lineno">  260</span>    }</div>
</div>
<div class="foldopen" id="foldopen00261" data-start="{" data-end="}">
<div class="line"><a id="l00261" name="l00261"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#aa8c82d18e6ac27bae8155c751f552bda">  261</a></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#aa8c82d18e6ac27bae8155c751f552bda" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(<a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a651c84963d3935af5324530e1722830b">BatchInputType</a> <span class="keyword">const</span>&amp; patterns, <a class="code hl_typedef" href="classshark_1_1_kernel_expansion.html#a3d47bea3d1bb6b1c5044c9208f1dfd09">BatchOutputType</a>&amp; outputs, <a class="code hl_struct" href="structshark_1_1_state.html" title="Represents the State of an Object.">State</a> &amp; state)<span class="keyword">const</span>{</div>
<div class="line"><a id="l00262" name="l00262"></a><span class="lineno">  262</span>        <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a9a55c5a7f5e4b7f447f299c1b19050e2" title="Standard interface for evaluating the response of the model to a batch of patterns.">eval</a>(patterns, outputs);</div>
<div class="line"><a id="l00263" name="l00263"></a><span class="lineno">  263</span>    }</div>
</div>
<div class="line"><a id="l00264" name="l00264"></a><span class="lineno">  264</span> </div>
<div class="line"><a id="l00265" name="l00265"></a><span class="lineno">  265</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00266" name="l00266"></a><span class="lineno">  266</span>    <span class="comment">// ////////      ALL THINGS SERIALIZATION      //////////////</span></div>
<div class="line"><a id="l00267" name="l00267"></a><span class="lineno">  267</span>    <span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00268" name="l00268"></a><span class="lineno">  268</span><span class="comment"></span> </div>
<div class="line"><a id="l00269" name="l00269"></a><span class="lineno">  269</span><span class="comment">    /// From ISerializable, reads a model from an archive</span></div>
<div class="foldopen" id="foldopen00270" data-start="{" data-end="}">
<div class="line"><a id="l00270" name="l00270"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a3b4d90a82af13e81f0ddb9bbc133a2a8">  270</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a3b4d90a82af13e81f0ddb9bbc133a2a8" title="From ISerializable, reads a model from an archive.">read</a>( <a class="code hl_typedef" href="namespaceshark.html#ada68729491840669e47c8ad42282424f" title="Type of an archive to read from.">InArchive</a> &amp; archive ){</div>
<div class="line"><a id="l00271" name="l00271"></a><span class="lineno">  271</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a> != NULL);</div>
<div class="line"><a id="l00272" name="l00272"></a><span class="lineno">  272</span> </div>
<div class="line"><a id="l00273" name="l00273"></a><span class="lineno">  273</span>        archive &gt;&gt; <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>;</div>
<div class="line"><a id="l00274" name="l00274"></a><span class="lineno">  274</span>        archive &gt;&gt; <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>;</div>
<div class="line"><a id="l00275" name="l00275"></a><span class="lineno">  275</span>        archive &gt;&gt; <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>;</div>
<div class="line"><a id="l00276" name="l00276"></a><span class="lineno">  276</span>        archive &gt;&gt; (*mep_kernel);</div>
<div class="line"><a id="l00277" name="l00277"></a><span class="lineno">  277</span>    }</div>
</div>
<div class="line"><a id="l00278" name="l00278"></a><span class="lineno">  278</span><span class="comment"></span> </div>
<div class="line"><a id="l00279" name="l00279"></a><span class="lineno">  279</span><span class="comment">    /// From ISerializable, writes a model to an archive</span></div>
<div class="foldopen" id="foldopen00280" data-start="{" data-end="}">
<div class="line"><a id="l00280" name="l00280"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a962e6ea8753f0146c69ff41002c4e413">  280</a></span><span class="comment"></span>    <span class="keywordtype">void</span> <a class="code hl_function" href="classshark_1_1_kernel_expansion.html#a962e6ea8753f0146c69ff41002c4e413" title="From ISerializable, writes a model to an archive.">write</a>( <a class="code hl_typedef" href="namespaceshark.html#af4f8eb8e9618f5236b71bbcb12b8a524" title="Type of an archive to write to.">OutArchive</a> &amp; archive )<span class="keyword"> const</span>{</div>
<div class="line"><a id="l00281" name="l00281"></a><span class="lineno">  281</span>        <a class="code hl_define" href="_exception_8h.html#a73abb5049a0168d72a48e72dda41708b">SHARK_ASSERT</a>(<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a> != NULL);</div>
<div class="line"><a id="l00282" name="l00282"></a><span class="lineno">  282</span> </div>
<div class="line"><a id="l00283" name="l00283"></a><span class="lineno">  283</span>        archive &lt;&lt; <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>;</div>
<div class="line"><a id="l00284" name="l00284"></a><span class="lineno">  284</span>        archive &lt;&lt; <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>;</div>
<div class="line"><a id="l00285" name="l00285"></a><span class="lineno">  285</span>        archive &lt;&lt; <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>;</div>
<div class="line"><a id="l00286" name="l00286"></a><span class="lineno">  286</span>        archive &lt;&lt; const_cast&lt;KernelType const&amp;&gt;(*<a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a>);<span class="comment">//prevent compilation warning</span></div>
<div class="line"><a id="l00287" name="l00287"></a><span class="lineno">  287</span>    }</div>
</div>
<div class="line"><a id="l00288" name="l00288"></a><span class="lineno">  288</span> </div>
<div class="line"><a id="l00289" name="l00289"></a><span class="lineno">  289</span><span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00290" name="l00290"></a><span class="lineno">  290</span><span class="comment">// ////////              MEMBERS               //////////////</span></div>
<div class="line"><a id="l00291" name="l00291"></a><span class="lineno">  291</span><span class="comment">// //////////////////////////////////////////////////////////</span></div>
<div class="line"><a id="l00292" name="l00292"></a><span class="lineno">  292</span> </div>
<div class="line"><a id="l00293" name="l00293"></a><span class="lineno">  293</span><span class="keyword">protected</span>:<span class="comment"></span></div>
<div class="line"><a id="l00294" name="l00294"></a><span class="lineno">  294</span><span class="comment">    /// kernel function used in the expansion</span></div>
<div class="line"><a id="l00295" name="l00295"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad">  295</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#af9b56d462d08ee86692de5f92e1a61ad" title="kernel function used in the expansion">mep_kernel</a>;</div>
<div class="line"><a id="l00296" name="l00296"></a><span class="lineno">  296</span><span class="comment"></span> </div>
<div class="line"><a id="l00297" name="l00297"></a><span class="lineno">  297</span><span class="comment">    /// &quot;support&quot; basis vectors</span></div>
<div class="line"><a id="l00298" name="l00298"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7">  298</a></span><span class="comment"></span>    <a class="code hl_class" href="classshark_1_1_data.html" title="Data container.">Data&lt;InputType&gt;</a> <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a3c17d9a2d90c6dc919d09431fa4a9bc7" title="&quot;support&quot; basis vectors">m_basis</a>;</div>
<div class="line"><a id="l00299" name="l00299"></a><span class="lineno">  299</span>    <span class="comment"></span></div>
<div class="line"><a id="l00300" name="l00300"></a><span class="lineno">  300</span><span class="comment">    /// kernel coefficients</span></div>
<div class="line"><a id="l00301" name="l00301"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265">  301</a></span><span class="comment"></span>    RealMatrix <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#a923db4c417f36a23a7c7e5ba496a5265" title="kernel coefficients">m_alpha</a>;</div>
<div class="line"><a id="l00302" name="l00302"></a><span class="lineno">  302</span><span class="comment"></span> </div>
<div class="line"><a id="l00303" name="l00303"></a><span class="lineno">  303</span><span class="comment">    /// offset or bias term</span></div>
<div class="line"><a id="l00304" name="l00304"></a><span class="lineno"><a class="line" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2">  304</a></span><span class="comment"></span>    RealVector <a class="code hl_variable" href="classshark_1_1_kernel_expansion.html#aa9c87c7314a2142b790272324e8793b2" title="offset or bias term">m_b</a>;</div>
<div class="line"><a id="l00305" name="l00305"></a><span class="lineno">  305</span>};</div>
</div>
<div class="line"><a id="l00306" name="l00306"></a><span class="lineno">  306</span><span class="comment"></span> </div>
<div class="line"><a id="l00307" name="l00307"></a><span class="lineno">  307</span><span class="comment">///</span></div>
<div class="line"><a id="l00308" name="l00308"></a><span class="lineno">  308</span><span class="comment">/// \brief Linear classifier in a kernel feature space.</span></div>
<div class="line"><a id="l00309" name="l00309"></a><span class="lineno">  309</span><span class="comment">///</span></div>
<div class="line"><a id="l00310" name="l00310"></a><span class="lineno">  310</span><span class="comment">/// This model is a simple wrapper for the KernelExpansion calculating the arg max</span></div>
<div class="line"><a id="l00311" name="l00311"></a><span class="lineno">  311</span><span class="comment">/// of the outputs of the model. This is the model used by kernel classifier models like SVMs.</span></div>
<div class="line"><a id="l00312" name="l00312"></a><span class="lineno">  312</span><span class="comment">///</span></div>
<div class="line"><a id="l00313" name="l00313"></a><span class="lineno">  313</span><span class="comment">/// \ingroup models</span></div>
<div class="line"><a id="l00314" name="l00314"></a><span class="lineno">  314</span><span class="comment"></span><span class="keyword">template</span>&lt;<span class="keyword">class</span> InputType&gt;</div>
<div class="foldopen" id="foldopen00315" data-start="{" data-end="};">
<div class="line"><a id="l00315" name="l00315"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html">  315</a></span><span class="keyword">struct </span><a class="code hl_struct" href="structshark_1_1_kernel_classifier.html" title="Linear classifier in a kernel feature space.">KernelClassifier</a>: <span class="keyword">public</span> <a class="code hl_class" href="classshark_1_1_classifier.html" title="Conversion of real-valued or vector valued outputs to class labels.">Classifier</a>&lt;KernelExpansion&lt;InputType&gt; &gt;{</div>
<div class="line"><a id="l00316" name="l00316"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html#a32caf409ea245eefc2a2e9ae4b43e3af">  316</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html" title="Base class of all Kernel functions.">AbstractKernelFunction&lt;InputType&gt;</a> <a class="code hl_typedef" href="structshark_1_1_kernel_classifier.html#a32caf409ea245eefc2a2e9ae4b43e3af">KernelType</a>;</div>
<div class="line"><a id="l00317" name="l00317"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html#a0ad5452841ff48ec90a093d9b9936361">  317</a></span>    <span class="keyword">typedef</span> <a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansion&lt;InputType&gt;</a> <a class="code hl_typedef" href="structshark_1_1_kernel_classifier.html#a0ad5452841ff48ec90a093d9b9936361">KernelExpansionType</a>;</div>
<div class="line"><a id="l00318" name="l00318"></a><span class="lineno">  318</span> </div>
<div class="foldopen" id="foldopen00319" data-start="{" data-end="}">
<div class="line"><a id="l00319" name="l00319"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html#a98f0d025a766e0b91627b9a2b98b88bc">  319</a></span>    <a class="code hl_function" href="structshark_1_1_kernel_classifier.html#a98f0d025a766e0b91627b9a2b98b88bc">KernelClassifier</a>()</div>
<div class="line"><a id="l00320" name="l00320"></a><span class="lineno">  320</span>    { }</div>
</div>
<div class="foldopen" id="foldopen00321" data-start="{" data-end="}">
<div class="line"><a id="l00321" name="l00321"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html#a5b168d3d8d19b54f6beeaf4e7966642a">  321</a></span>    <a class="code hl_function" href="structshark_1_1_kernel_classifier.html#a5b168d3d8d19b54f6beeaf4e7966642a">KernelClassifier</a>(<a class="code hl_class" href="classshark_1_1_abstract_kernel_function.html">KernelType</a>* kernel)</div>
<div class="line"><a id="l00322" name="l00322"></a><span class="lineno">  322</span>    : <a class="code hl_class" href="classshark_1_1_classifier.html" title="Conversion of real-valued or vector valued outputs to class labels.">Classifier</a>&lt;<a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansion</a>&lt;<a class="code hl_typedef" href="classshark_1_1_classifier.html#a33186c46c8fb9472d9e2c219be2c66f4">InputType</a>&gt; &gt;(<a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansionType</a>(kernel))</div>
<div class="line"><a id="l00323" name="l00323"></a><span class="lineno">  323</span>    { }</div>
</div>
<div class="foldopen" id="foldopen00324" data-start="{" data-end="}">
<div class="line"><a id="l00324" name="l00324"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html#aef914da86d750dfaaec6959a65cb1895">  324</a></span>    <a class="code hl_function" href="structshark_1_1_kernel_classifier.html#aef914da86d750dfaaec6959a65cb1895">KernelClassifier</a>(<a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansionType</a> <span class="keyword">const</span>&amp; <a class="code hl_function" href="classshark_1_1_classifier.html#adf58b2ed9969bad9828772dd23c59c02" title="Return the decision function.">decisionFunction</a>)</div>
<div class="line"><a id="l00325" name="l00325"></a><span class="lineno">  325</span>    : <a class="code hl_class" href="classshark_1_1_classifier.html" title="Conversion of real-valued or vector valued outputs to class labels.">Classifier</a>&lt;<a class="code hl_class" href="classshark_1_1_kernel_expansion.html" title="Linear model in a kernel feature space.">KernelExpansion</a>&lt;<a class="code hl_typedef" href="classshark_1_1_classifier.html#a33186c46c8fb9472d9e2c219be2c66f4">InputType</a>&gt; &gt;(<a class="code hl_function" href="classshark_1_1_classifier.html#adf58b2ed9969bad9828772dd23c59c02" title="Return the decision function.">decisionFunction</a>)</div>
<div class="line"><a id="l00326" name="l00326"></a><span class="lineno">  326</span>    { }</div>
</div>
<div class="line"><a id="l00327" name="l00327"></a><span class="lineno">  327</span> </div>
<div class="foldopen" id="foldopen00328" data-start="{" data-end="}">
<div class="line"><a id="l00328" name="l00328"></a><span class="lineno"><a class="line" href="structshark_1_1_kernel_classifier.html#abbef74538d798ab544d102d5a957b1eb">  328</a></span>    std::string <a class="code hl_function" href="structshark_1_1_kernel_classifier.html#abbef74538d798ab544d102d5a957b1eb" title="returns the name of the object">name</a>()<span class="keyword"> const</span></div>
<div class="line"><a id="l00329" name="l00329"></a><span class="lineno">  329</span><span class="keyword">    </span>{ <span class="keywordflow">return</span> <span class="stringliteral">&quot;KernelClassifier&quot;</span>; }</div>
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<div class="line"><a id="l00330" name="l00330"></a><span class="lineno">  330</span>};</div>
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<div class="line"><a id="l00331" name="l00331"></a><span class="lineno">  331</span> </div>
<div class="line"><a id="l00332" name="l00332"></a><span class="lineno">  332</span> </div>
<div class="line"><a id="l00333" name="l00333"></a><span class="lineno">  333</span>}</div>
<div class="line"><a id="l00334" name="l00334"></a><span class="lineno">  334</span><span class="preprocessor">#endif</span></div>
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